{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# requests库\n",
    "请求一个网页调用get方法"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'requests.models.Response'>\n",
      "<Response [200]>\n",
      "200\n",
      "<class 'str'>\n",
      "<!DOCTYPE html>\r\n",
      "<!--STATUS OK--><html> <head><meta http-equiv=content-type content=text/html;charset=utf-8><meta http-equiv=X-UA-Compatible content=IE=Edge><meta content=always name=referrer><link rel=stylesheet type=text/css href=http://s1.bdstatic.com/r/www/cache/bdorz/baidu.min.css><title>ç¾åº¦ä¸ä¸ï¼ä½ å°±ç¥é</title></head> <body link=#0000cc> <div id=wrapper> <div id=head> <div class=head_wrapper> <div class=s_form> <div class=s_form_wrapper> <div id=lg> <img hidefocus=true src=//www.baidu.com/img/bd_logo1.png width=270 height=129> </div> <form id=form name=f action=//www.baidu.com/s class=fm> <input type=hidden name=bdorz_come value=1> <input type=hidden name=ie value=utf-8> <input type=hidden name=f value=8> <input type=hidden name=rsv_bp value=1> <input type=hidden name=rsv_idx value=1> <input type=hidden name=tn value=baidu><span class=\"bg s_ipt_wr\"><input id=kw name=wd class=s_ipt value maxlength=255 autocomplete=off autofocus></span><span class=\"bg s_btn_wr\"><input type=submit id=su value=ç¾åº¦ä¸ä¸ class=\"bg s_btn\"></span> </form> </div> </div> <div id=u1> <a href=http://news.baidu.com name=tj_trnews class=mnav>æ°é»</a> <a href=http://www.hao123.com name=tj_trhao123 class=mnav>hao123</a> <a href=http://map.baidu.com name=tj_trmap class=mnav>å°å¾</a> <a href=http://v.baidu.com name=tj_trvideo class=mnav>è§é¢</a> <a href=http://tieba.baidu.com name=tj_trtieba class=mnav>è´´å§</a> <noscript> <a href=http://www.baidu.com/bdorz/login.gif?login&amp;tpl=mn&amp;u=http%3A%2F%2Fwww.baidu.com%2f%3fbdorz_come%3d1 name=tj_login class=lb>ç»å½</a> </noscript> <script>document.write('<a href=\"http://www.baidu.com/bdorz/login.gif?login&tpl=mn&u='+ encodeURIComponent(window.location.href+ (window.location.search === \"\" ? \"?\" : \"&\")+ \"bdorz_come=1\")+ '\" name=\"tj_login\" class=\"lb\">ç»å½</a>');</script> <a href=//www.baidu.com/more/ name=tj_briicon class=bri style=\"display: block;\">æ´å¤äº§å</a> </div> </div> </div> <div id=ftCon> <div id=ftConw> <p id=lh> <a href=http://home.baidu.com>å",
      "³äºç¾åº¦</a> <a href=http://ir.baidu.com>About Baidu</a> </p> <p id=cp>&copy;2017&nbsp;Baidu&nbsp;<a href=http://www.baidu.com/duty/>ä½¿ç¨ç¾åº¦åå¿",
      "è¯»</a>&nbsp; <a href=http://jianyi.baidu.com/ class=cp-feedback>æè§åé¦</a>&nbsp;äº¬ICPè¯030173å·&nbsp; <img src=//www.baidu.com/img/gs.gif> </p> </div> </div> </div> </body> </html>\r\n",
      "\n",
      "<RequestsCookieJar[<Cookie BDORZ=27315 for .baidu.com/>]>\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "\n",
    "response = requests.get('http://www.baidu.com')\n",
    "print(type(response))\n",
    "print(response)\n",
    "print(response.status_code) # status_code状态码\n",
    "# rresponse.text打印所访问网站的html代码信息，返回值类型为str类型\n",
    "# 对比urllib.request.urlopen()返回的信息是bytes类型，还要进行decode('utf-8')进行解码\n",
    "print(type(response.text))\n",
    "print(response.text)\n",
    "print(response.cookies)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# requests.get()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"args\": {\n",
      "    \"age\": \"22\", \n",
      "    \"name\": \"germey\"\n",
      "  }, \n",
      "  \"headers\": {\n",
      "    \"Accept\": \"*/*\", \n",
      "    \"Accept-Encoding\": \"gzip, deflate\", \n",
      "    \"Host\": \"httpbin.org\", \n",
      "    \"User-Agent\": \"python-requests/2.18.4\", \n",
      "    \"X-Amzn-Trace-Id\": \"Root=1-5e2ef874-1d51c0b5d9a738808f299527\"\n",
      "  }, \n",
      "  \"origin\": \"112.47.188.20\", \n",
      "  \"url\": \"http://httpbin.org/get?name=germey&age=22\"\n",
      "}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 带参数的\n",
    "import requests\n",
    "# 1、可以直接在url路径后面添加参数格式为在?后面以键值对的形式中间用等于号连接多个键值对之间用&隔开\n",
    "# url = 'http://httpbin.org/get?name=germey&age=22'\n",
    "# response = requests.get(url)\n",
    "# print(response.text)\n",
    "\n",
    "# 2、或者参数通过字典的形式传递进来，他会自动的添加&符号比较方便\n",
    "url2 = 'http://httpbin.org/get'\n",
    "data = {\n",
    "    'name':'germey',\n",
    "    'age':'22'\n",
    "}\n",
    "response = requests.get(url2,params=data)\n",
    "print(response.text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# json解析\n",
    "# response.json()与json.loads()方法一样"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "response.text:\n",
      "{\n",
      "  \"args\": {\n",
      "    \"age\": \"22\", \n",
      "    \"name\": \"germey\"\n",
      "  }, \n",
      "  \"headers\": {\n",
      "    \"Accept\": \"*/*\", \n",
      "    \"Accept-Encoding\": \"gzip, deflate\", \n",
      "    \"Host\": \"httpbin.org\", \n",
      "    \"User-Agent\": \"python-requests/2.18.4\", \n",
      "    \"X-Amzn-Trace-Id\": \"Root=1-5e2ef874-1d51c0b5d9a738808f299527\"\n",
      "  }, \n",
      "  \"origin\": \"112.47.188.20\", \n",
      "  \"url\": \"http://httpbin.org/get?name=germey&age=22\"\n",
      "}\n",
      "\n",
      "<class 'dict'>\n",
      "response.json():\n",
      "{'args': {'age': '22', 'name': 'germey'}, 'headers': {'Accept': '*/*', 'Accept-Encoding': 'gzip, deflate', 'Host': 'httpbin.org', 'User-Agent': 'python-requests/2.18.4', 'X-Amzn-Trace-Id': 'Root=1-5e2ef874-1d51c0b5d9a738808f299527'}, 'origin': '112.47.188.20', 'url': 'http://httpbin.org/get?name=germey&age=22'}\n",
      "json.loads():\n",
      "{'args': {'age': '22', 'name': 'germey'}, 'headers': {'Accept': '*/*', 'Accept-Encoding': 'gzip, deflate', 'Host': 'httpbin.org', 'User-Agent': 'python-requests/2.18.4', 'X-Amzn-Trace-Id': 'Root=1-5e2ef874-1d51c0b5d9a738808f299527'}, 'origin': '112.47.188.20', 'url': 'http://httpbin.org/get?name=germey&age=22'}\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "import json\n",
    "\n",
    "url2 = 'http://httpbin.org/get'\n",
    "print('response.text:',response.text,sep='\\n')\n",
    "print(type(response.json()))\n",
    "print('response.json():',response.json(),sep='\\n')\n",
    "print('json.loads():',json.loads(response.text),sep='\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 获取二进制文件保存图片保存视频\n",
    "# content方法返回bytes类型的数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'str'>\n",
      "<class 'bytes'>\n"
     ]
    }
   ],
   "source": [
    "# 从网上下载图片保存为bird的图片\n",
    "import requests\n",
    "\n",
    "response = requests.get('https://timgsa.baidu.com/timg?image&quality=80&size=b9999_10000&sec=1580147576886&di=affe7574d25829ea8638b5ee7f44dd2e&imgtype=0&src=http%3A%2F%2Fa4.att.hudong.com%2F21%2F09%2F01200000026352136359091694357.jpg')\n",
    "print(type(response.text))\n",
    "print(type(response.content))\n",
    "with open('bird.jpg','wb') as fp:\n",
    "    fp.write(response.content)\n",
    "    fp.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 添加headers信息，直接在get方法内部添加headers参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<html>\r\n",
      "<head><title>400 Bad Request</title></head>\r\n",
      "<body bgcolor=\"white\">\r\n",
      "<center><h1>400 Bad Request</h1></center>\r\n",
      "<hr><center>openresty</center>\r\n",
      "</body>\r\n",
      "</html>\r\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# zhihu 网站不添加headers参数就不能访问，有反爬虫机制\n",
    "import requests\n",
    "response = requests.get('https://www.zhihu.com/explore')\n",
    "print(response.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "# 知乎网添加头部信息访问\n",
    "import requests\n",
    "# from urllib import request\n",
    "url = 'https://www.zhihu.com/explore'\n",
    "headers = {\n",
    "    'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.142 Safari/537.36'\n",
    "}\n",
    "response = requests.get(url,headers=headers)\n",
    "print(response.text)\n",
    "# req = request.Request(url,headers=headers)\n",
    "# response = request.urlopen(req)\n",
    "# print(response.read().decode('utf-8'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# requests.post()请求"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"args\": {}, \n",
      "  \"data\": \"\", \n",
      "  \"files\": {}, \n",
      "  \"form\": {\n",
      "    \"age\": \"22\", \n",
      "    \"name\": \"germey\"\n",
      "  }, \n",
      "  \"headers\": {\n",
      "    \"Accept\": \"*/*\", \n",
      "    \"Accept-Encoding\": \"gzip, deflate\", \n",
      "    \"Content-Length\": \"18\", \n",
      "    \"Content-Type\": \"application/x-www-form-urlencoded\", \n",
      "    \"Host\": \"httpbin.org\", \n",
      "    \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.142 Safari/537.36\", \n",
      "    \"X-Amzn-Trace-Id\": \"Root=1-5e2faa40-5d997e094016a8517a1b39c8\"\n",
      "  }, \n",
      "  \"json\": null, \n",
      "  \"origin\": \"112.47.188.20\", \n",
      "  \"url\": \"http://httpbin.org/post\"\n",
      "}\n",
      "\n",
      "{'args': {}, 'data': '', 'files': {}, 'form': {'age': '22', 'name': 'germey'}, 'headers': {'Accept': '*/*', 'Accept-Encoding': 'gzip, deflate', 'Content-Length': '18', 'Content-Type': 'application/x-www-form-urlencoded', 'Host': 'httpbin.org', 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.142 Safari/537.36', 'X-Amzn-Trace-Id': 'Root=1-5e2faa40-5d997e094016a8517a1b39c8'}, 'json': None, 'origin': '112.47.188.20', 'url': 'http://httpbin.org/post'}\n"
     ]
    }
   ],
   "source": [
    "# get与post传入参数的区别\n",
    "# get中的参数是params=  post中的参数是data=  都不需要进行转码\n",
    "import requests\n",
    "\n",
    "url = 'http://httpbin.org/post'\n",
    "data = {\n",
    "    'name':'germey',\n",
    "    'age':22\n",
    "}\n",
    "headers = {\n",
    "    'User-Agent':'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/75.0.3770.142 Safari/537.36'\n",
    "}\n",
    "response = requests.post(url,data=data,headers=headers)\n",
    "print(response.text)\n",
    "print(response.json())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 响应\n",
    "# response属性"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "状态码:\n",
      "<class 'int'>\n",
      "403\n",
      "headers information:\n",
      "<class 'requests.structures.CaseInsensitiveDict'>\n",
      "{'Server': 'Tengine', 'Content-Type': 'text/html', 'Transfer-Encoding': 'chunked', 'Connection': 'keep-alive', 'Date': 'Tue, 28 Jan 2020 03:39:20 GMT', 'Vary': 'Accept-Encoding', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Content-Encoding': 'gzip', 'x-alicdn-da-ups-status': 'endOs,0,403', 'Via': 'cache27.l2nu16-1[4,0], cache9.cn1419[32,0]', 'Timing-Allow-Origin': '*', 'EagleId': '6f06e21d15801827607443366e'}\n",
      "cookie information\n",
      "<class 'requests.cookies.RequestsCookieJar'>\n",
      "<RequestsCookieJar[]>\n",
      "<class 'list'>\n",
      "[<Response [301]>]\n"
     ]
    }
   ],
   "source": [
    "# response.text响应的文本\n",
    "# response.status_code 响应的状态码\n",
    "# response.headers 响应的头部信息\n",
    "# response.cookies  响应的cookie信息\n",
    "# response.history  访问历史信息\n",
    "\n",
    "import requests\n",
    "response = requests.get('http://www.jianshu.com')\n",
    "print('状态码:')\n",
    "print(type(response.status_code),response.status_code,sep='\\n')\n",
    "print('headers information:')\n",
    "print(type(response.headers),response.headers,sep='\\n')\n",
    "print('cookie information')\n",
    "print(type(response.cookies),response.cookies,sep='\\n')\n",
    "print(type(response.history),response.history,sep='\\n')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 状态码的判断"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "404 not found\n",
      "Forbidden\n"
     ]
    }
   ],
   "source": [
    "# 状态码的判断可以通过数字或者status_code内置的属性来判断\n",
    "# requests库有一个响应状态码集合\n",
    "import requests\n",
    "response = requests.get('http://www.jianshu.com/hello_wyj.html')\n",
    "if not response.status_code == requests.codes.not_found:\n",
    "    print('404 not found')\n",
    "    print(response.reason)\n",
    "else:\n",
    "    print('else:',response.status_code)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 文件上传操作\n",
    "# 通过requests.post()请求的参数files=可以上传文件，参数的类型是一个字符串的类型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{\n",
      "  \"args\": {}, \n",
      "  \"data\": \"\", \n",
      "  \"files\": {\n",
      "    \"file\": 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\"\n",
      "  }, \n",
      "  \"form\": {}, \n",
      "  \"headers\": {\n",
      "    \"Accept\": \"*/*\", \n",
      "    \"Accept-Encoding\": \"gzip, deflate\", \n",
      "    \"Content-Length\": \"63768\", \n",
      "    \"Content-Type\": \"multipart/form-data; boundary=ed98554d3a0246a5be071d752d08089c\", \n",
      "    \"Host\": \"httpbin.org\", \n",
      "    \"User-Agent\": \"python-requests/2.18.4\", \n",
      "    \"X-Amzn-Trace-Id\": \"Root=1-5e2fb333-26160d277df46aef120070c8\"\n",
      "  }, \n",
      "  \"json\": null, \n",
      "  \"origin\": \"112.47.188.20\", \n",
      "  \"url\": \"http://httpbin.org/post\"\n",
      "}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "\n",
    "files = {\n",
    "    'file':open('bird.jpg','rb')\n",
    "}\n",
    "response = requests.post('http://httpbin.org/post',files=files)\n",
    "print(response.text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 获取cookie信息\n",
    "# response.cookies可以直接获取cookie信息，就不用像urllib获取cookie那么繁琐还要cookiejar，HTTPCookieProcesser，opener等"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<RequestsCookieJar[<Cookie BDORZ=27315 for .baidu.com/>]>\n",
      "BDORZ=27315\n"
     ]
    }
   ],
   "source": [
    "# response.cookie\n",
    "import requests\n",
    "\n",
    "data = {\n",
    "    'name':'germey',\n",
    "    'age':22\n",
    "}\n",
    "response = requests.get('http://www.baidu.com',params=data)\n",
    "print(response.cookies) # 这是一个字典类型\n",
    "for key,value in response.cookies.items():\n",
    "    print(key+'='+value)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 维持会话，如果使用两次requests.get()函数相当于使用两个浏览器发送两个请求，如果要使用同一个浏览器发送两次请求，需要用request.Session()创建对象来保存cookie信息，维持会话。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<RequestsCookieJar[]>\n",
      "{\n",
      "  \"cookies\": {\n",
      "    \"number\": \"123456789\"\n",
      "  }\n",
      "}\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# requests.Session().get就代表在同一个浏览器使用请求\n",
    "import requests\n",
    "s = requests.Session()\n",
    "# 第一次发送请求相当于登录，获取cookie信息，保存cookie信息，\n",
    "# 方便第二次访问的时候就不用再次请求cookie直接登录\n",
    "s.get('http://httpbin.org/cookies/set/number/123456789')\n",
    "response = s.get('http://httpbin.org/cookies')\n",
    "print(response.cookies)\n",
    "print(response.text)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 证书验证问题，如果访问的网站是https协议的话需要证书，如果没有或者不符合写协议的安全问题的网站是无法访问的,用Python爬虫访问会出现SSLError"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "200\n"
     ]
    }
   ],
   "source": [
    "# 如12306网站\n",
    "import requests\n",
    "response = requests.get('https://www.12306.cn')\n",
    "print(response.status_code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "200\n"
     ]
    }
   ],
   "source": [
    "# 解决方法一，通过参数verify=False设置不验证证书\n",
    "# 虽然这样的方法还是可以访问，但是还是会有警告信息，说要加一个验证比较保险\n",
    "# 可以通过requests.packages.urllib3原生库中的disable_warnings()来消除警告信息，使输出比较好看\n",
    "import requests\n",
    "from requests.packages import urllib3\n",
    "urllib3.disable_warnings()\n",
    "response = requests.get('https://www.12306.cn',verify=False)\n",
    "print(response.status_code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 手动指定cert证书，get请求有一个cert参数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 代理设置：在requests库中设置代理只需要在requests.get()方法中使用参数proxies=以键值对的形式传入代理服务器的ip"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "ename": "ProxyError",
     "evalue": "HTTPConnectionPool(host='223.199.28.237', port=9999): Max retries exceeded with url: http://www.taobao.com/ (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPConnection object at 0x000002A94531F400>: Failed to establish a new connection: [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应，连接尝试失败。',)))",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTimeoutError\u001b[0m                              Traceback (most recent call last)",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36m_new_conn\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    140\u001b[0m             conn = connection.create_connection(\n\u001b[1;32m--> 141\u001b[1;33m                 (self.host, self.port), self.timeout, **extra_kw)\n\u001b[0m\u001b[0;32m    142\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\urllib3\\util\\connection.py\u001b[0m in \u001b[0;36mcreate_connection\u001b[1;34m(address, timeout, source_address, socket_options)\u001b[0m\n\u001b[0;32m     82\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0merr\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 83\u001b[1;33m         \u001b[1;32mraise\u001b[0m \u001b[0merr\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     84\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\urllib3\\util\\connection.py\u001b[0m in \u001b[0;36mcreate_connection\u001b[1;34m(address, timeout, source_address, socket_options)\u001b[0m\n\u001b[0;32m     72\u001b[0m                 \u001b[0msock\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mbind\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msource_address\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 73\u001b[1;33m             \u001b[0msock\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconnect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msa\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     74\u001b[0m             \u001b[1;32mreturn\u001b[0m \u001b[0msock\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTimeoutError\u001b[0m: [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应，连接尝试失败。",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mNewConnectionError\u001b[0m                        Traceback (most recent call last)",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[0;32m    600\u001b[0m                                                   \u001b[0mbody\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mbody\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mheaders\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 601\u001b[1;33m                                                   chunked=chunked)\n\u001b[0m\u001b[0;32m    602\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36m_make_request\u001b[1;34m(self, conn, method, url, timeout, chunked, **httplib_request_kw)\u001b[0m\n\u001b[0;32m    356\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 357\u001b[1;33m             \u001b[0mconn\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mhttplib_request_kw\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    358\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\http\\client.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(self, method, url, body, headers, encode_chunked)\u001b[0m\n\u001b[0;32m   1238\u001b[0m         \u001b[1;34m\"\"\"Send a complete request to the server.\"\"\"\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1239\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_send_request\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mbody\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mheaders\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencode_chunked\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1240\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\http\\client.py\u001b[0m in \u001b[0;36m_send_request\u001b[1;34m(self, method, url, body, headers, encode_chunked)\u001b[0m\n\u001b[0;32m   1284\u001b[0m             \u001b[0mbody\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0m_encode\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbody\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'body'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1285\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mendheaders\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mbody\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencode_chunked\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mencode_chunked\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1286\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\http\\client.py\u001b[0m in \u001b[0;36mendheaders\u001b[1;34m(self, message_body, encode_chunked)\u001b[0m\n\u001b[0;32m   1233\u001b[0m             \u001b[1;32mraise\u001b[0m \u001b[0mCannotSendHeader\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1234\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_send_output\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmessage_body\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mencode_chunked\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mencode_chunked\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1235\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\http\\client.py\u001b[0m in \u001b[0;36m_send_output\u001b[1;34m(self, message_body, encode_chunked)\u001b[0m\n\u001b[0;32m   1025\u001b[0m         \u001b[1;32mdel\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_buffer\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 1026\u001b[1;33m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmsg\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   1027\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\http\\client.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, data)\u001b[0m\n\u001b[0;32m    963\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mauto_open\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 964\u001b[1;33m                 \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mconnect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    965\u001b[0m             \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36mconnect\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    165\u001b[0m     \u001b[1;32mdef\u001b[0m \u001b[0mconnect\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 166\u001b[1;33m         \u001b[0mconn\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_new_conn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    167\u001b[0m         \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_prepare_conn\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mconn\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\urllib3\\connection.py\u001b[0m in \u001b[0;36m_new_conn\u001b[1;34m(self)\u001b[0m\n\u001b[0;32m    149\u001b[0m             raise NewConnectionError(\n\u001b[1;32m--> 150\u001b[1;33m                 self, \"Failed to establish a new connection: %s\" % e)\n\u001b[0m\u001b[0;32m    151\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNewConnectionError\u001b[0m: <urllib3.connection.HTTPConnection object at 0x000002A94531F400>: Failed to establish a new connection: [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应，连接尝试失败。",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mMaxRetryError\u001b[0m                             Traceback (most recent call last)",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\requests\\adapters.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[0;32m    439\u001b[0m                     \u001b[0mretries\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmax_retries\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 440\u001b[1;33m                     \u001b[0mtimeout\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mtimeout\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    441\u001b[0m                 )\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\urllib3\\connectionpool.py\u001b[0m in \u001b[0;36murlopen\u001b[1;34m(self, method, url, body, headers, retries, redirect, assert_same_host, timeout, pool_timeout, release_conn, chunked, body_pos, **response_kw)\u001b[0m\n\u001b[0;32m    638\u001b[0m             retries = retries.increment(method, url, error=e, _pool=self,\n\u001b[1;32m--> 639\u001b[1;33m                                         _stacktrace=sys.exc_info()[2])\n\u001b[0m\u001b[0;32m    640\u001b[0m             \u001b[0mretries\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msleep\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\urllib3\\util\\retry.py\u001b[0m in \u001b[0;36mincrement\u001b[1;34m(self, method, url, response, error, _pool, _stacktrace)\u001b[0m\n\u001b[0;32m    387\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[0mnew_retry\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mis_exhausted\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 388\u001b[1;33m             \u001b[1;32mraise\u001b[0m \u001b[0mMaxRetryError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0m_pool\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0merror\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mResponseError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcause\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    389\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mMaxRetryError\u001b[0m: HTTPConnectionPool(host='223.199.28.237', port=9999): Max retries exceeded with url: http://www.taobao.com/ (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPConnection object at 0x000002A94531F400>: Failed to establish a new connection: [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应，连接尝试失败。',)))",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[1;31mProxyError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-19-d25f495b7710>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m()\u001b[0m\n\u001b[0;32m      4\u001b[0m     \u001b[1;34m'http'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;34m'223.199.28.237:9999'\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m      5\u001b[0m } \n\u001b[1;32m----> 6\u001b[1;33m \u001b[0mresponse\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mrequests\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mget\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'http://www.taobao.com'\u001b[0m\u001b[1;33m,\u001b[0m\u001b[0mproxies\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mproxies\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      7\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mresponse\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mstatus_code\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\requests\\api.py\u001b[0m in \u001b[0;36mget\u001b[1;34m(url, params, **kwargs)\u001b[0m\n\u001b[0;32m     70\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     71\u001b[0m     \u001b[0mkwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msetdefault\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'allow_redirects'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;32mTrue\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 72\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'get'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mparams\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mparams\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     73\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     74\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\requests\\api.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(method, url, **kwargs)\u001b[0m\n\u001b[0;32m     56\u001b[0m     \u001b[1;31m# cases, and look like a memory leak in others.\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     57\u001b[0m     \u001b[1;32mwith\u001b[0m \u001b[0msessions\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mSession\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m)\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 58\u001b[1;33m         \u001b[1;32mreturn\u001b[0m \u001b[0msession\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mmethod\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0murl\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0murl\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     59\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     60\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\requests\\sessions.py\u001b[0m in \u001b[0;36mrequest\u001b[1;34m(self, method, url, params, data, headers, cookies, files, auth, timeout, allow_redirects, proxies, hooks, stream, verify, cert, json)\u001b[0m\n\u001b[0;32m    506\u001b[0m         }\n\u001b[0;32m    507\u001b[0m         \u001b[0msend_kwargs\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mupdate\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0msettings\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 508\u001b[1;33m         \u001b[0mresp\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mself\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mprep\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0msend_kwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    509\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    510\u001b[0m         \u001b[1;32mreturn\u001b[0m \u001b[0mresp\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\requests\\sessions.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, **kwargs)\u001b[0m\n\u001b[0;32m    616\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    617\u001b[0m         \u001b[1;31m# Send the request\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 618\u001b[1;33m         \u001b[0mr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0madapter\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0msend\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;33m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    619\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    620\u001b[0m         \u001b[1;31m# Total elapsed time of the request (approximately)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\Anaconda\\Anaconda3\\lib\\site-packages\\requests\\adapters.py\u001b[0m in \u001b[0;36msend\u001b[1;34m(self, request, stream, timeout, verify, cert, proxies)\u001b[0m\n\u001b[0;32m    500\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    501\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreason\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_ProxyError\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 502\u001b[1;33m                 \u001b[1;32mraise\u001b[0m \u001b[0mProxyError\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mrequest\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mrequest\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    503\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    504\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0me\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mreason\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0m_SSLError\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mProxyError\u001b[0m: HTTPConnectionPool(host='223.199.28.237', port=9999): Max retries exceeded with url: http://www.taobao.com/ (Caused by ProxyError('Cannot connect to proxy.', NewConnectionError('<urllib3.connection.HTTPConnection object at 0x000002A94531F400>: Failed to establish a new connection: [WinError 10060] 由于连接方在一段时间后没有正确答复或连接的主机没有反应，连接尝试失败。',)))"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "\n",
    "proxies = {\n",
    "    'http':'223.199.28.237:9999'\n",
    "} \n",
    "response = requests.get('http://www.taobao.com',proxies=proxies)# 这个免费的代理服务器有问题\n",
    "print(response.status_code)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 超时设置：requests.get()的timeout参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# import requests\n",
    "from requests.exceptions import ReadTimeout\n",
    "try:\n",
    "    response = requests.get('http://httpbin.org/get',timeout=1)\n",
    "    print(response.status_code)\n",
    "except ReadTimeout:\n",
    "    print('ReadTimeout')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 认证设置 requests.auth.HTTPBasicAuth,在requests.get()有个auth=参数传入用户名，密码就可以模拟登录"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "200\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "from requests.auth import HTTPBasicAuth\n",
    "\n",
    "\n",
    "r = requests.get('https://mail.qq.com/cgi-bin/frame_html?sid=SbXKN9AAWtzzbip0&r=f6e4b20596b1c7cd90aca07015a9bea3',auth=HTTPBasicAuth('1149691900','wyj721572wyj'))\n",
    "print(r.status_code)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 异常处理，官方文档查询，在requests.exceptions里面"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "ReadTimeout\n"
     ]
    }
   ],
   "source": [
    "import requests\n",
    "from requests.exceptions import ReadTimeout,HTTPError,RequestException,ConnectionError\n",
    "\n",
    "try:\n",
    "    r = requests.get('http://httpbin.org/get',timeout=0.5)  # 0.1时间太短了，就会connectionerror，设置0.5就是readtimeout\n",
    "    print(r.status_code)\n",
    "except ReadTimeout:\n",
    "    print('ReadTimeout')\n",
    "except HTTPError:\n",
    "    print('HTTPError')\n",
    "except ConnectionError:  # 这个是网络出错才会抛出问题\n",
    "    print('ConnectionError')\n",
    "except RequestException:\n",
    "    print('Error')\n"
   ]
  }
 ],
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